Teams

TNT-MXM

2026 One Doubles · 3.5 Women

3 players · average NTRP 3.50 / NORTHWEST WASHINGTON

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Schedule3 played
2026-07-25vs Summer SistersWon 10
W#1 DoublesMallica Sikka / Miaomiao Zhang vs Joanne Yu / Smaranda Lieuallen6-3, 6-0
2026-07-19vs D1 Energy, D3 Skills v2Won 10
W#1 DoublesMallica Sikka / Miaomiao Zhang vs Leigh Wunderlin / Yasmine Hejazi7-6, 2-2
2026-06-28vs Baseline BeautiesLost 01
L#1 DoublesMallica Sikka / Xiaoyi Ye vs Meghan Bradner / Caitlin Hennessy6-7, 6-3, 0-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 3.5 Women have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.31 estimated across 3 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.38
Miaomiao Zhang
usually #1 Doubles 100% · published 3.5
3.29
Xiaoyi Ye
usually #1 Doubles 100% · published 3.5
3.26
Mallica Sikka
usually #1 Doubles 100% · published 3.5
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Xiaoyi Ye + Mallica Sikka29568% games+8.0% vs expected
Mallica Sikka + Miaomiao Zhang303 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3.5
Miaomiao Zhang
40W–19L career · 2 lines in 2026
<1%80%19%
3.38
3.5
Xiaoyi Ye
100W–36L career · 1 line in 2026
2%92%6%
3.29
3.5
Mallica Sikka
75W–31L career · 3 lines in 2026
3%93%4%
3.26

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.